mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-25 05:48:55 +01:00
104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
from pathlib import Path
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import gradio as gr
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import torch
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from modules import shared
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with open(Path(__file__).resolve().parent / '../css/main.css', 'r') as f:
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css = f.read()
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with open(Path(__file__).resolve().parent / '../css/chat.css', 'r') as f:
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chat_css = f.read()
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with open(Path(__file__).resolve().parent / '../css/main.js', 'r') as f:
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main_js = f.read()
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with open(Path(__file__).resolve().parent / '../css/chat.js', 'r') as f:
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chat_js = f.read()
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refresh_symbol = '\U0001f504' # 🔄
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delete_symbol = '🗑️'
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save_symbol = '💾'
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theme = gr.themes.Default(
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font=['Helvetica', 'ui-sans-serif', 'system-ui', 'sans-serif'],
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font_mono=['IBM Plex Mono', 'ui-monospace', 'Consolas', 'monospace'],
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).set(
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border_color_primary='#c5c5d2',
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button_large_padding='6px 12px',
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body_text_color_subdued='#484848',
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background_fill_secondary='#eaeaea'
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)
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def list_model_elements():
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elements = ['cpu_memory', 'auto_devices', 'disk', 'cpu', 'bf16', 'load_in_8bit', 'trust_remote_code', 'load_in_4bit', 'compute_dtype', 'quant_type', 'use_double_quant', 'wbits', 'groupsize', 'model_type', 'pre_layer', 'autogptq', 'triton', 'threads', 'n_batch', 'no_mmap', 'mlock', 'n_gpu_layers', 'n_ctx', 'llama_cpp_seed']
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for i in range(torch.cuda.device_count()):
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elements.append(f'gpu_memory_{i}')
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return elements
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def list_interface_input_elements(chat=False):
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elements = ['max_new_tokens', 'seed', 'temperature', 'top_p', 'top_k', 'typical_p', 'epsilon_cutoff', 'eta_cutoff', 'repetition_penalty', 'encoder_repetition_penalty', 'no_repeat_ngram_size', 'min_length', 'do_sample', 'penalty_alpha', 'num_beams', 'length_penalty', 'early_stopping', 'mirostat_mode', 'mirostat_tau', 'mirostat_eta', 'add_bos_token', 'ban_eos_token', 'truncation_length', 'custom_stopping_strings', 'skip_special_tokens', 'preset_menu', 'stream']
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if chat:
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elements += ['name1', 'name2', 'greeting', 'context', 'chat_prompt_size', 'chat_generation_attempts', 'stop_at_newline', 'mode', 'instruction_template', 'character_menu', 'name1_instruct', 'name2_instruct', 'context_instruct', 'turn_template', 'chat_style', 'chat-instruct_command']
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elements += list_model_elements()
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return elements
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def gather_interface_values(*args):
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output = {}
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for i, element in enumerate(shared.input_elements):
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output[element] = args[i]
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shared.persistent_interface_state = output
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return output
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def apply_interface_values(state, use_persistent=False):
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if use_persistent:
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state = shared.persistent_interface_state
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elements = list_interface_input_elements(chat=shared.is_chat())
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if len(state) == 0:
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return [gr.update() for k in elements] # Dummy, do nothing
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else:
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return [state[k] if k in state else gr.update() for k in elements]
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class ToolButton(gr.Button, gr.components.FormComponent):
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"""Small button with single emoji as text, fits inside gradio forms"""
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def __init__(self, **kwargs):
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super().__init__(variant="tool", **kwargs)
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def get_block_name(self):
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return "button"
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def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
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def refresh():
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refresh_method()
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args = refreshed_args() if callable(refreshed_args) else refreshed_args
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for k, v in args.items():
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setattr(refresh_component, k, v)
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return gr.update(**(args or {}))
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refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id)
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refresh_button.click(
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fn=refresh,
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inputs=[],
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outputs=[refresh_component]
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)
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return refresh_button
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def create_delete_button(**kwargs):
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return ToolButton(value=delete_symbol, **kwargs)
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def create_save_button(**kwargs):
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return ToolButton(value=save_symbol, **kwargs)
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